Change in Negative Sentiment

Intercept as indicated by the Pre-reg

Tweets Mentioning either Israeli and/or Jewish people or Arabic and/or Muslim people

Changes in negative sentiment in tweets by the “Before” and “After” period

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 2.157893 1.189217 301.190757 1.8145495 0.0705879
EthnoraceArabic and/or Muslim group 7.148940 4.771941 2.804883 1.4981200 0.2371147
Affiliation_ContrastLeft-leaning 3.332712 1.651867 285.168207 2.0175427 0.0445755
Condition_ContrastAfter 10/07/23 3.127981 1.319356 47.574604 2.3708399 0.0218480
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning -8.639582 9.078019 2.896523 -0.9517035 0.4137239
EthnoraceArabic and/or Muslim group:Condition_ContrastAfter 10/07/23 -8.462369 4.733700 2.765667 -1.7876861 0.1795147
Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 -3.431669 1.836748 59.327481 -1.8683395 0.0666550
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 8.777563 8.991652 2.874717 0.9761903 0.4037934

Changes in negative sentiment in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362)

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 5.2497022 1.3505690 347.437251 3.8870301 0.0001215
EthnoraceArabic and/or Muslim group -1.3684428 1.7119709 20.068573 -0.7993377 0.4334542
Affiliation_ContrastLeft-leaning -0.3125696 1.8880507 417.957200 -0.1655515 0.8685900
Date_Index -0.0030929 0.0046383 9.299234 -0.6668142 0.5210908
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning 0.4315429 2.5249745 21.227460 0.1709098 0.8659133
EthnoraceArabic and/or Muslim group:Date_Index 0.0039280 0.0085666 13.611430 0.4585224 0.6538127
Affiliation_ContrastLeft-leaning:Date_Index 0.0045643 0.0063496 9.810700 0.7188235 0.4890163
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Date_Index -0.0055245 0.0127331 15.645050 -0.4338723 0.6703047

### Tweets Mentioning either IDF or Hamas

Changes in negative sentiment in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362). Note: IDF was not mentioned in any tweets between 10/07/22 and 10/06/23 (the “Before” period). So, the data was subsetted to only the ““After” period.

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 1.6885940 2.995756 0.3667352 0.5636620 0.7623752
MilitantHamas 4.2079429 3.022227 0.5434213 1.3923319 0.5084851
Affiliation_ContrastLeft-leaning 0.8083810 5.206795 0.4933803 0.1552550 0.9175709
Date_Index 0.0546467 1.114661 317.3584923 0.0490254 0.9609299
MilitantHamas:Affiliation_ContrastLeft-leaning -2.7239265 5.284504 0.7420358 -0.5154555 0.7188613
MilitantHamas:Date_Index -0.0592167 1.114694 299.6835895 -0.0531237 0.9576687
Affiliation_ContrastLeft-leaning:Date_Index -0.0509858 1.441135 326.9169323 -0.0353789 0.9717992
MilitantHamas:Affiliation_ContrastLeft-leaning:Date_Index 0.0600138 1.441212 316.4355746 0.0416412 0.9668110

Simplified Intercept

Tweets Mentioning either Israeli and/or Jewish people or Arabic and/or Muslim people

Changes in negative sentiment in tweets by the “Before” and “After” period

Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 2.134729 1.222057 466.5418 1.746834 0.0813243
EthnoraceArabic and/or Muslim group 8.447642 2.785260 546.7029 3.032981 0.0025365
Affiliation_ContrastLeft-leaning 3.301992 1.698653 446.0416 1.943889 0.0525373
Condition_ContrastAfter 10/07/23 3.021922 1.254289 513.0424 2.409270 0.0163357
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning -11.440150 5.300000 546.8183 -2.158519 0.0313220
EthnoraceArabic and/or Muslim group:Condition_ContrastAfter 10/07/23 -9.491227 2.836233 546.7152 -3.346420 0.0008749
Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 -3.430362 1.767134 472.1152 -1.941201 0.0528286
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 11.488763 5.359556 546.3413 2.143603 0.0325055

Changes in negative sentiment in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362)

Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 5.0361604 0.4548497 24.55851 11.0721406 0.0000000
EthnoraceArabic and/or Muslim group -0.5483524 0.7270375 546.93991 -0.7542286 0.4510366
Affiliation_ContrastLeft-leaning 0.0106164 0.6730107 36.38799 0.0157746 0.9875004
Date_Index -0.0006444 0.0021415 539.14041 -0.3009072 0.7636013
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning -0.5662824 1.1605158 540.77440 -0.4879575 0.6257777
EthnoraceArabic and/or Muslim group:Date_Index -0.0011019 0.0042920 534.60808 -0.2567260 0.7974890
Affiliation_ContrastLeft-leaning:Date_Index 0.0007946 0.0031087 535.19890 0.2555990 0.7983587
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Date_Index 0.0015998 0.0066767 520.23686 0.2396104 0.8107267

Tweets Mentioning either IDF or Hamas

Changes in negative sentiment in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362). Note: IDF was not mentioned in any tweets between 10/07/22 and 10/06/23 (the “Before” period). So, the data was subsetted to only the ““After” period.

Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 2.1157747 2.4064762 378.0572 0.8792004 0.3798511
MilitantHamas 3.5451747 2.3877397 372.0199 1.4847409 0.1384593
Affiliation_ContrastLeft-leaning 0.6544639 3.3132900 355.7051 0.1975269 0.8435281
Date_Index 0.0223508 0.0118492 370.0031 1.8862786 0.0600403
MilitantHamas:Affiliation_ContrastLeft-leaning -2.2589936 3.3626146 380.7376 -0.6717968 0.5021205
MilitantHamas:Date_Index -0.0255376 0.0120156 370.7466 -2.1253705 0.0342164
Affiliation_ContrastLeft-leaning:Date_Index -0.0144934 0.0231542 379.8728 -0.6259512 0.5317228
MilitantHamas:Affiliation_ContrastLeft-leaning:Date_Index 0.0224421 0.0237573 378.6329 0.9446388 0.3454457

Change in Positive Sentiment

Intercept as indicated by the Pre-reg

Tweets Mentioning either Israeli and/or Jewish people or Arabic and/or Muslim people

Changes in positive sentiment in tweets by the “Before” and “After” period

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 3.7540068 1.425759 13.181520 2.6329888 0.0204759
EthnoraceArabic and/or Muslim group -3.1549952 2.277895 5.784519 -1.3850483 0.2170851
Affiliation_ContrastLeft-leaning -1.1816824 1.996922 13.466833 -0.5917520 0.5638194
Condition_ContrastAfter 10/07/23 -1.7358792 1.334909 12.198927 -1.3003731 0.2175041
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning 1.0380779 3.947035 12.923257 0.2630019 0.7966955
EthnoraceArabic and/or Muslim group:Condition_ContrastAfter 10/07/23 2.8224405 2.168605 7.544741 1.3015004 0.2314189
Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 1.1903968 1.894830 13.320280 0.6282342 0.5404731
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 0.0515584 3.841539 23.090524 0.0134213 0.9894070

Changes in positive sentiment in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362)

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 2.5009720 1.2095413 236.152383 2.0677029 0.0397574
EthnoraceArabic and/or Muslim group -1.0626311 1.1513353 4.916252 -0.9229554 0.3990642
Affiliation_ContrastLeft-leaning -0.3983739 1.6902100 181.423669 -0.2356949 0.8139353
Date_Index -0.0014622 0.0039605 13.016956 -0.3691923 0.7179203
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning 0.9016764 1.6662929 4.347503 0.5411272 0.6149659
EthnoraceArabic and/or Muslim group:Date_Index 0.0040871 0.0048617 1.368339 0.8406832 0.5219047
Affiliation_ContrastLeft-leaning:Date_Index 0.0004161 0.0055617 13.378453 0.0748157 0.9414685
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Date_Index 0.0027385 0.0074753 1.473469 0.3663325 0.7598147

### Tweets Mentioning either IDF or Hamas

Changes in positve sentiment in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362). Note: IDF was not mentioned in any tweets between 10/07/22 and 10/06/23 (the “Before” period). So, the data was subsetted to only the ““After” period.

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 1.0664990 2.490179 0.6203344 0.4282820 0.7720214
MilitantHamas 1.6901751 2.506564 0.9782139 0.6742996 0.6243336
Affiliation_ContrastLeft-leaning 0.0525433 4.337178 0.8203643 0.0121146 0.9925964
Date_Index -0.0034307 1.002447 362.5739016 -0.0034223 0.9972713
MilitantHamas:Affiliation_ContrastLeft-leaning 0.0531469 4.393030 1.2914967 0.0120980 0.9919419
MilitantHamas:Date_Index 0.0019546 1.002434 359.4759657 0.0019499 0.9984453
Affiliation_ContrastLeft-leaning:Date_Index -0.0061768 1.295596 361.1483682 -0.0047675 0.9961987
MilitantHamas:Affiliation_ContrastLeft-leaning:Date_Index 0.0015715 1.295576 359.1903480 0.0012130 0.9990329

Simplified Intercept

Tweets Mentioning either Israeli and/or Jewish people or Arabic and/or Muslim people

Changes in positive sentiment in tweets by the “Before” and “After” period

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 4.0223077 0.8159660 547 4.9295039 0.0000011
EthnoraceArabic and/or Muslim group -3.2656410 1.8843928 547 -1.7329938 0.0836603
Affiliation_ContrastLeft-leaning -1.9630220 1.1331566 547 -1.7323483 0.0837752
Condition_ContrastAfter 10/07/23 -1.9456709 0.8394129 547 -2.3178949 0.0208230
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning 1.2063553 3.5811432 547 0.3368632 0.7363492
EthnoraceArabic and/or Muslim group:Condition_ContrastAfter 10/07/23 2.8375306 1.9185566 547 1.4789924 0.1397180
Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 2.0062277 1.1794110 547 1.7010421 0.0895034
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 -0.3011254 3.6238411 547 -0.0830956 0.9338059

Changes in positive sentiment in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362)

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 2.3865176 0.2619491 547 9.1106172 0.0000000
EthnoraceArabic and/or Muslim group -1.2361065 0.4859006 547 -2.5439492 0.0112346
Affiliation_ContrastLeft-leaning -0.1533981 0.4017245 547 -0.3818489 0.7027217
Date_Index -0.0016162 0.0014240 547 -1.1349290 0.2569021
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning 1.1229885 0.7728645 547 1.4530211 0.1467913
EthnoraceArabic and/or Muslim group:Date_Index 0.0057609 0.0028557 547 2.0173442 0.0441475
Affiliation_ContrastLeft-leaning:Date_Index 0.0006052 0.0020679 547 0.2926701 0.7698853
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Date_Index -0.0013746 0.0044315 547 -0.3101909 0.7565339

Change in Warm-conveying Words

Intercept as indicated by the Pre-reg

Tweets Mentioning either Israeli and/or Jewish people or Arabic and/or Muslim people

Changes in Warm-conveying Words in tweets by the “Before” and “After” period

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0071062 0.0041010 23.36500 1.7327772 0.0963165
EthnoraceArabic and/or Muslim group -0.0071062 0.0091611 135.34843 -0.7756990 0.4392800
Affiliation_ContrastLeft-leaning -0.0029463 0.0056934 23.46444 -0.5175048 0.6096486
Condition_ContrastAfter 10/07/23 -0.0001844 0.0042613 19.08341 -0.0432804 0.9659277
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning 0.0029453 0.0173449 397.44611 0.1698085 0.8652471
EthnoraceArabic and/or Muslim group:Condition_ContrastAfter 10/07/23 0.0051543 0.0094371 58.50797 0.5461779 0.5870204
Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 0.0016352 0.0059650 21.00903 0.2741369 0.7866568
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 -0.0016497 0.0176422 171.42399 -0.0935092 0.9256083

Changes in Warm-conveying Words in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362)

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0046309 0.0044959 220.723438 1.0300140 0.3041308
EthnoraceArabic and/or Muslim group 0.0019056 0.0053023 9.808157 0.3593980 0.7269143
Affiliation_ContrastLeft-leaning 0.0022054 0.0062838 319.481334 0.3509742 0.7258390
Date_Index 0.0000174 0.0000321 10.575821 0.5432331 0.5982322
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning -0.0067564 0.0078609 10.792498 -0.8594919 0.4087548
EthnoraceArabic and/or Muslim group:Date_Index -0.0000285 0.0000200 4.643090 -1.4247156 0.2178402
Affiliation_ContrastLeft-leaning:Date_Index -0.0000188 0.0000450 10.529362 -0.4171472 0.6849488
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Date_Index 0.0000466 0.0000297 7.082103 1.5720137 0.1594487

### Tweets Mentioning either IDF or Hamas

Changes in Warm-conveying Words in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362). Note: IDF was not mentioned in any tweets between 10/07/22 and 10/06/23 (the “Before” period). So, the data was subsetted to only the ““After” period.

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0067777 0.0104360 0.8408546 0.6494605 0.6491057
MilitantHamas 0.0006329 0.0104957 1.1923101 0.0603053 0.9604041
Affiliation_ContrastLeft-leaning -0.0081755 0.0180873 1.1171543 -0.4520035 0.7233175
Date_Index 0.0000344 0.0039992 264.8751864 0.0086068 0.9931393
MilitantHamas:Affiliation_ContrastLeft-leaning 0.0099162 0.0182794 1.6194437 0.5424794 0.6527180
MilitantHamas:Date_Index -0.0000459 0.0039990 244.9800499 -0.0114673 0.9908599
Affiliation_ContrastLeft-leaning:Date_Index -0.0000267 0.0051694 295.4798565 -0.0051683 0.9958798
MilitantHamas:Affiliation_ContrastLeft-leaning:Date_Index 0.0000203 0.0051691 281.8841107 0.0039236 0.9968722

Simplified Intercept

Tweets Mentioning either Israeli and/or Jewish people or Arabic and/or Muslim people

Changes in Warm-conveying Words in tweets by the “Before” and “After” period

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0073073 0.0039448 547 1.8523898 0.0645084
EthnoraceArabic and/or Muslim group -0.0073073 0.0091101 547 -0.8021083 0.4228386
Affiliation_ContrastLeft-leaning -0.0033390 0.0054783 547 -0.6095091 0.5424401
Condition_ContrastAfter 10/07/23 -0.0004853 0.0040582 547 -0.1195879 0.9048535
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning 0.0033390 0.0173131 547 0.1928628 0.8471380
EthnoraceArabic and/or Muslim group:Condition_ContrastAfter 10/07/23 0.0056237 0.0092753 547 0.6063068 0.5445625
Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 0.0021065 0.0057019 547 0.3694330 0.7119480
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 -0.0020844 0.0175195 547 -0.1189782 0.9053363

Changes in Warm-conveying Words in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362)

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0069147 0.0012629 547 5.4753395 0.0000001
EthnoraceArabic and/or Muslim group -0.0003593 0.0023426 547 -0.1533615 0.8781697
Affiliation_ContrastLeft-leaning -0.0024437 0.0019367 547 -1.2617781 0.2075664
Date_Index -0.0000005 0.0000069 547 -0.0765815 0.9389845
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning -0.0003791 0.0037260 547 -0.1017459 0.9189956
EthnoraceArabic and/or Muslim group:Date_Index -0.0000133 0.0000138 547 -0.9685041 0.3332207
Affiliation_ContrastLeft-leaning:Date_Index 0.0000086 0.0000100 547 0.8666529 0.3865122
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Date_Index 0.0000156 0.0000214 547 0.7288791 0.4663875

### Tweets Mentioning either IDF or Hamas

Changes in Warm-conveying Words in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362). Note: IDF was not mentioned in any tweets between 10/07/22 and 10/06/23 (the “Before” period). So, the data was subsetted to only the ““After” period.

Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0058361 0.0080610 376.2490 0.7239824 0.4695265
MilitantHamas 0.0011657 0.0080671 377.7246 0.1444979 0.8851844
Affiliation_ContrastLeft-leaning -0.0061992 0.0110529 359.7849 -0.5608650 0.5752387
Date_Index -0.0000239 0.0000401 375.7012 -0.5970324 0.5508454
MilitantHamas:Affiliation_ContrastLeft-leaning 0.0073206 0.0113330 382.8384 0.6459578 0.5186937
MilitantHamas:Date_Index 0.0000130 0.0000406 375.9835 0.3209538 0.7484237
Affiliation_ContrastLeft-leaning:Date_Index 0.0000214 0.0000780 382.8620 0.2737972 0.7843881
MilitantHamas:Affiliation_ContrastLeft-leaning:Date_Index -0.0000251 0.0000801 381.6445 -0.3129787 0.7544678

Change in Cold-conveying Words

Intercept as indicated by the Pre-reg

Tweets Mentioning either Israeli and/or Jewish people or Arabic and/or Muslim people

Changes in Cold-conveying Words in tweets by the “Before” and “After” period

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0049737 0.0039496 10.851981 1.2592866 0.2343390
EthnoraceArabic and/or Muslim group 0.0049586 0.0118588 3.054885 0.4181382 0.7035043
Affiliation_ContrastLeft-leaning -0.0014189 0.0054641 11.175372 -0.2596755 0.7998358
Condition_ContrastAfter 10/07/23 -0.0003149 0.0040354 11.849291 -0.0780393 0.9390991
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning -0.0054496 0.0225565 2.892946 -0.2415991 0.8251974
EthnoraceArabic and/or Muslim group:Condition_ContrastAfter 10/07/23 -0.0051017 0.0119938 3.099944 -0.4253667 0.6983789
Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 0.0010871 0.0056329 12.640674 0.1929839 0.8500377
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 0.0052257 0.0226848 2.900549 0.2303628 0.8330957

Changes in Cold-conveying Words in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362)

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0045082 0.0016763 9.373354 2.6894663 0.0239757
EthnoraceArabic and/or Muslim group -0.0001103 0.0029815 9.454476 -0.0369870 0.9712646
Affiliation_ContrastLeft-leaning -0.0001673 0.0023593 11.494821 -0.0709092 0.9446888
Date_Index -0.0000016 0.0000084 9.622077 -0.1868510 0.8556582
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning 0.0004762 0.0044800 11.097368 0.1062887 0.9172503
EthnoraceArabic and/or Muslim group:Date_Index -0.0000015 0.0000176 11.287607 -0.0847755 0.9339249
Affiliation_ContrastLeft-leaning:Date_Index 0.0000006 0.0000115 12.028133 0.0513426 0.9598953
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Date_Index -0.0000053 0.0000265 12.751389 -0.1999576 0.8446673

### Tweets Mentioning either IDF or Hamas

Changes in Cold-conveying Words in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362). Note: IDF was not mentioned in any tweets between 10/07/22 and 10/06/23 (the “Before” period). So, the data was subsetted to only the ““After” period.

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) -0.0011876 0.0094329 0.4072280 -0.1259040 0.9367017
MilitantHamas 0.0049492 0.0094836 0.5757234 0.5218680 0.7366427
Affiliation_ContrastLeft-leaning 0.0068653 0.0164033 0.5483648 0.4185303 0.7847709
Date_Index -0.0028045 0.0031042 2.6115133 -0.9034615 0.4417414
MilitantHamas:Affiliation_ContrastLeft-leaning -0.0084077 0.0166029 0.7910331 -0.5063986 0.7182136
MilitantHamas:Date_Index 0.0028018 0.0030967 2.5552728 0.9047666 0.4426440
Affiliation_ContrastLeft-leaning:Date_Index 0.0033953 0.0042709 5.2924580 0.7949832 0.4607736
MilitantHamas:Affiliation_ContrastLeft-leaning:Date_Index -0.0033741 0.0042630 5.1693309 -0.7914812 0.4634171

Simplified Intercept

Tweets Mentioning either Israeli and/or Jewish people or Arabic and/or Muslim people

Changes in Cold-conveying Words in tweets by the “Before” and “After” period

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0045249 0.0033527 547 1.3496285 0.1776935
EthnoraceArabic and/or Muslim group 0.0069694 0.0077427 547 0.9001200 0.3684525
Affiliation_ContrastLeft-leaning -0.0007834 0.0046560 547 -0.1682546 0.8664452
Condition_ContrastAfter 10/07/23 0.0003844 0.0034490 547 0.1114545 0.9112968
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning -0.0107109 0.0147144 547 -0.7279161 0.4669764
EthnoraceArabic and/or Muslim group:Condition_ContrastAfter 10/07/23 -0.0072061 0.0078831 547 -0.9141167 0.3610583
Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 0.0002111 0.0048460 547 0.0435538 0.9652759
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 0.0105702 0.0148899 547 0.7098922 0.4780735

Changes in Cold-conveying Words in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362)

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0053919 0.0010745 547 5.0179685 0.0000007
EthnoraceArabic and/or Muslim group 0.0009836 0.0019932 547 0.4934918 0.6218632
Affiliation_ContrastLeft-leaning -0.0009831 0.0016479 547 -0.5966059 0.5510173
Date_Index -0.0000040 0.0000058 547 -0.6876239 0.4919811
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning -0.0019799 0.0031703 547 -0.6245003 0.5325595
EthnoraceArabic and/or Muslim group:Date_Index -0.0000091 0.0000117 547 -0.7799522 0.4357564
Affiliation_ContrastLeft-leaning:Date_Index 0.0000029 0.0000085 547 0.3427106 0.7319478
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Date_Index 0.0000140 0.0000182 547 0.7715136 0.4407357

Tweets Mentioning either IDF or Hamas

Changes in Cold-conveying Words in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362). Note: IDF was not mentioned in any tweets between 10/07/22 and 10/06/23 (the “Before” period). So, the data was subsetted to only the ““After” period.

Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0002886 0.0074539 377.1102 0.0387217 0.9691328
MilitantHamas 0.0043722 0.0075239 383.7480 0.5811077 0.5615090
Affiliation_ContrastLeft-leaning 0.0096044 0.0101947 375.3298 0.9421019 0.3467464
Date_Index 0.0000129 0.0000374 383.9973 0.3449550 0.7303170
MilitantHamas:Affiliation_ContrastLeft-leaning -0.0133749 0.0105517 383.9267 -1.2675607 0.2057231
MilitantHamas:Date_Index -0.0000135 0.0000379 383.7056 -0.3573713 0.7210104
Affiliation_ContrastLeft-leaning:Date_Index -0.0000455 0.0000727 383.9783 -0.6268380 0.5311380
MilitantHamas:Affiliation_ContrastLeft-leaning:Date_Index 0.0000662 0.0000747 383.5780 0.8868101 0.3757368

Change in Competence-conveying Words

Intercept as indicated by the Pre-reg

Tweets Mentioning either Israeli and/or Jewish people or Arabic and/or Muslim people

Changes in Competence-conveying Words in tweets by the “Before” and “After” period

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0098529 0.0035968 16.791577 2.7393277 0.0140901
EthnoraceArabic and/or Muslim group -0.0044815 0.0126972 5.741706 -0.3529492 0.7367206
Affiliation_ContrastLeft-leaning -0.0101967 0.0050318 16.164248 -2.0264420 0.0595479
Condition_ContrastAfter 10/07/23 -0.0045478 0.0055532 15.415491 -0.8189376 0.4253019
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning -0.0003716 0.0236370 2.683340 -0.0157219 0.9885507
EthnoraceArabic and/or Muslim group:Condition_ContrastAfter 10/07/23 0.0016743 0.0138564 4.934599 0.1208308 0.9085906
Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 0.0113741 0.0077351 15.683463 1.4704540 0.1612159
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 -0.0006818 0.0248428 5.280589 -0.0274450 0.9791120

Changes in Competence-conveying Words in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362)

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0047213 0.0032453 8.246887 1.4547992 0.1827044
EthnoraceArabic and/or Muslim group -0.0016348 0.0048127 23.241596 -0.3396785 0.7371492
Affiliation_ContrastLeft-leaning -0.0003718 0.0045289 7.920567 -0.0820844 0.9366160
Date_Index -0.0000124 0.0000090 5.374184 -1.3728060 0.2243336
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning 0.0007670 0.0070823 23.116034 0.1083012 0.9146914
EthnoraceArabic and/or Muslim group:Date_Index 0.0000073 0.0000244 20.777521 0.2996669 0.7674085
Affiliation_ContrastLeft-leaning:Date_Index 0.0000239 0.0000125 6.205503 1.9069330 0.1035444
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Date_Index -0.0000288 0.0000360 23.343023 -0.8016354 0.4308491

### Tweets Mentioning either IDF or Hamas

Changes in Competence-conveying Words in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362). Note: IDF was not mentioned in any tweets between 10/07/22 and 10/06/23 (the “Before” period). So, the data was subsetted to only the ““After” period.

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0065645 0.0082720 1.982571 0.7935821 0.5112673
MilitantHamas -0.0017984 0.0084142 2.679183 -0.2137326 0.8459680
Affiliation_ContrastLeft-leaning -0.0113516 0.0144086 2.610445 -0.7878391 0.4960325
Date_Index -0.0000277 0.0032669 375.293995 -0.0084652 0.9932503
MilitantHamas:Affiliation_ContrastLeft-leaning 0.0089258 0.0146783 3.574131 0.6080941 0.5796253
MilitantHamas:Date_Index 0.0000180 0.0032669 376.767709 0.0055137 0.9956036
Affiliation_ContrastLeft-leaning:Date_Index 0.0001335 0.0042224 376.279110 0.0316170 0.9747943
MilitantHamas:Affiliation_ContrastLeft-leaning:Date_Index -0.0001347 0.0042224 378.600410 -0.0318975 0.9745706

Simplified Intercept

Tweets Mentioning either Israeli and/or Jewish people or Arabic and/or Muslim people

Changes in Competence-conveying Words in tweets by the “Before” and “After” period

Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0073734 0.0031775 357.2783 2.3205475 0.0208738
EthnoraceArabic and/or Muslim group 0.0045334 0.0071627 546.6139 0.6329180 0.5270519
Affiliation_ContrastLeft-leaning -0.0073556 0.0044241 317.2592 -1.6626189 0.0973763
Condition_ContrastAfter 10/07/23 -0.0050269 0.0032439 506.0259 -1.5496675 0.1218465
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning -0.0050424 0.0136269 545.2905 -0.3700317 0.7115025
EthnoraceArabic and/or Muslim group:Condition_ContrastAfter 10/07/23 -0.0038925 0.0072936 546.4664 -0.5336904 0.5937727
Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 0.0101333 0.0045882 412.6530 2.2085515 0.0277549
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 0.0019205 0.0137753 543.8659 0.1394172 0.8891721

Changes in Competence-conveying Words in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362)

Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0040543 0.0013138 14.59557 3.0859193 0.0077320
EthnoraceArabic and/or Muslim group 0.0008083 0.0018437 546.97406 0.4383991 0.6612701
Affiliation_ContrastLeft-leaning -0.0007608 0.0019062 18.52988 -0.3991110 0.6943737
Date_Index -0.0000103 0.0000054 545.51023 -1.8863667 0.0597764
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning 0.0003389 0.0029496 542.53245 0.1148833 0.9085801
EthnoraceArabic and/or Muslim group:Date_Index -0.0000027 0.0000109 536.25500 -0.2510894 0.8018412
Affiliation_ContrastLeft-leaning:Date_Index 0.0000214 0.0000079 533.50705 2.7100201 0.0069444
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Date_Index -0.0000228 0.0000170 524.10216 -1.3402828 0.1807341

Tweets Mentioning either IDF or Hamas

Changes in Competence-conveying Words in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362). Note: IDF was not mentioned in any tweets between 10/07/22 and 10/06/23 (the “Before” period). So, the data was subsetted to only the ““After” period.

Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0061636 0.0064545 378.6785 0.9549246 0.3402250
MilitantHamas -0.0024054 0.0065047 383.4127 -0.3697924 0.7117413
Affiliation_ContrastLeft-leaning -0.0125862 0.0088299 375.6357 -1.4254064 0.1548701
Date_Index -0.0000239 0.0000323 383.4627 -0.7392357 0.4602161
MilitantHamas:Affiliation_ContrastLeft-leaning 0.0118419 0.0091239 383.8891 1.2978925 0.1951036
MilitantHamas:Date_Index 0.0000189 0.0000328 383.0808 0.5774669 0.5639634
Affiliation_ContrastLeft-leaning:Date_Index 0.0001406 0.0000628 383.9328 2.2383302 0.0257721
MilitantHamas:Affiliation_ContrastLeft-leaning:Date_Index -0.0001492 0.0000646 383.5478 -2.3113653 0.0213421

Change in Incompetence-conveying Words

Intercept as indicated by the Pre-reg

Tweets Mentioning either Israeli and/or Jewish people or Arabic and/or Muslim people

Changes in Incompetence-conveying Words in tweets by the “Before” and “After” period

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0164206 0.0055916 11.48300 2.936626 0.0129798
EthnoraceArabic and/or Muslim group -0.0164202 0.0083573 14.78680 -1.964771 0.0685175
Affiliation_ContrastLeft-leaning -0.0174738 0.0078137 11.74305 -2.236300 0.0455546
Condition_ContrastAfter 10/07/23 -0.0146831 0.0062266 12.93476 -2.358099 0.0347871
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning 0.0174730 0.0146755 53.21500 1.190624 0.2390852
EthnoraceArabic and/or Muslim group:Condition_ContrastAfter 10/07/23 0.0165638 0.0088709 13.50271 1.867213 0.0837313
Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 0.0189803 0.0086350 12.95330 2.198075 0.0467330
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 -0.0188305 0.0152238 38.47739 -1.236912 0.2236161

Changes in Incompetence-conveying Words in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362)

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0044660 0.0069104 34.655082 0.6462761 0.5223577
EthnoraceArabic and/or Muslim group -0.0011259 0.0032491 1.924216 -0.3465400 0.7631456
Affiliation_ContrastLeft-leaning -0.0030962 0.0098798 36.028305 -0.3133813 0.7557981
Date_Index -0.0000060 0.0000111 1.779451 -0.5378050 0.6503119
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning 0.0015038 0.0047037 2.216907 0.3197022 0.7768435
EthnoraceArabic and/or Muslim group:Date_Index -0.0000029 0.0000160 1.196273 -0.1796631 0.8829842
Affiliation_ContrastLeft-leaning:Date_Index 0.0000170 0.0000161 1.847316 1.0561918 0.4093221
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Date_Index -0.0000050 0.0000241 1.365491 -0.2063893 0.8629809

### Tweets Mentioning either IDF or Hamas

Changes in Incompetence-conveying Words in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362). Note: IDF was not mentioned in any tweets between 10/07/22 and 10/06/23 (the “Before” period). So, the data was subsetted to only the ““After” period.

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0138302 0.0051687 1.655300 2.6757393 0.1408250
MilitantHamas -0.0115545 0.0052397 2.368189 -2.2051813 0.1381901
Affiliation_ContrastLeft-leaning -0.0200797 0.0090035 2.197843 -2.2302101 0.1439670
Date_Index -0.0000988 0.0020042 232.133520 -0.0492996 0.9607229
MilitantHamas:Affiliation_ContrastLeft-leaning 0.0173079 0.0091893 3.086780 1.8834848 0.1535645
MilitantHamas:Date_Index 0.0000907 0.0020038 215.814412 0.0452385 0.9639591
Affiliation_ContrastLeft-leaning:Date_Index 0.0002425 0.0025909 276.874668 0.0936025 0.9254926
MilitantHamas:Affiliation_ContrastLeft-leaning:Date_Index -0.0002198 0.0025903 261.194958 -0.0848368 0.9324562

Simplified Intercept

Tweets Mentioning either Israeli and/or Jewish people or Arabic and/or Muslim people

Changes in Incompetence-conveying Words in tweets by the “Before” and “After” period

Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0134985 0.0031037 481.8068 4.349108 0.0000167
EthnoraceArabic and/or Muslim group -0.0137189 0.0071143 546.4593 -1.928353 0.0543290
Affiliation_ContrastLeft-leaning -0.0135091 0.0043112 469.5954 -3.133453 0.0018357
Condition_ContrastAfter 10/07/23 -0.0115372 0.0031906 503.7143 -3.615982 0.0003293
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning 0.0142206 0.0135345 547.0000 1.050694 0.2938632
EthnoraceArabic and/or Muslim group:Condition_ContrastAfter 10/07/23 0.0135029 0.0072443 546.5862 1.863935 0.0628667
Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 0.0147193 0.0044879 475.4040 3.279781 0.0011151
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 -0.0149908 0.0136899 546.7858 -1.095027 0.2739868

Changes in Incompetence-conveying Words in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362)

Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0036770 0.0011939 16.24532 3.0798399 0.0070767
EthnoraceArabic and/or Muslim group -0.0011581 0.0018497 546.92802 -0.6261301 0.5314908
Affiliation_ContrastLeft-leaning -0.0021515 0.0017567 23.22311 -1.2247623 0.2329435
Date_Index -0.0000066 0.0000055 538.78294 -1.2021904 0.2298179
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning 0.0010297 0.0029544 539.00679 0.3485258 0.7275814
EthnoraceArabic and/or Muslim group:Date_Index 0.0000007 0.0000109 530.01889 0.0619631 0.9506156
Affiliation_ContrastLeft-leaning:Date_Index 0.0000174 0.0000079 530.56153 2.1927291 0.0287604
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Date_Index -0.0000049 0.0000170 510.74990 -0.2885858 0.7730154

Tweets Mentioning either IDF or Hamas

Changes in Incompetence-conveying Words in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362). Note: IDF was not mentioned in any tweets between 10/07/22 and 10/06/23 (the “Before” period). So, the data was subsetted to only the ““After” period.

Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0125362 0.0041197 376.5176 3.042996 0.0025067
MilitantHamas -0.0110099 0.0041571 383.6428 -2.648449 0.0084200
Affiliation_ContrastLeft-leaning -0.0190233 0.0056346 374.1741 -3.376138 0.0008122
Date_Index -0.0000397 0.0000206 383.9449 -1.924310 0.0550545
MilitantHamas:Affiliation_ContrastLeft-leaning 0.0169720 0.0058302 383.9085 2.911048 0.0038123
MilitantHamas:Date_Index 0.0000395 0.0000209 383.5270 1.888301 0.0597401
Affiliation_ContrastLeft-leaning:Date_Index 0.0001564 0.0000401 383.9655 3.896807 0.0001150
MilitantHamas:Affiliation_ContrastLeft-leaning:Date_Index -0.0001398 0.0000413 383.5094 -3.389272 0.0007735

Change in Competence-conveying Words

Intercept as indicated by the Pre-reg

Tweets Mentioning either Israeli and/or Jewish people or Arabic and/or Muslim people

Changes in Competence-conveying Words in tweets by the “Before” and “After” period

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0098529 0.0035968 16.791577 2.7393277 0.0140901
EthnoraceArabic and/or Muslim group -0.0044815 0.0126972 5.741706 -0.3529492 0.7367206
Affiliation_ContrastLeft-leaning -0.0101967 0.0050318 16.164248 -2.0264420 0.0595479
Condition_ContrastAfter 10/07/23 -0.0045478 0.0055532 15.415491 -0.8189376 0.4253019
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning -0.0003716 0.0236370 2.683340 -0.0157219 0.9885507
EthnoraceArabic and/or Muslim group:Condition_ContrastAfter 10/07/23 0.0016743 0.0138564 4.934599 0.1208308 0.9085906
Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 0.0113741 0.0077351 15.683463 1.4704540 0.1612159
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 -0.0006818 0.0248428 5.280589 -0.0274450 0.9791120

Changes in Competence-conveying Words in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362)

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0047213 0.0032453 8.246887 1.4547992 0.1827044
EthnoraceArabic and/or Muslim group -0.0016348 0.0048127 23.241596 -0.3396785 0.7371492
Affiliation_ContrastLeft-leaning -0.0003718 0.0045289 7.920567 -0.0820844 0.9366160
Date_Index -0.0000124 0.0000090 5.374184 -1.3728060 0.2243336
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning 0.0007670 0.0070823 23.116034 0.1083012 0.9146914
EthnoraceArabic and/or Muslim group:Date_Index 0.0000073 0.0000244 20.777521 0.2996669 0.7674085
Affiliation_ContrastLeft-leaning:Date_Index 0.0000239 0.0000125 6.205503 1.9069330 0.1035444
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Date_Index -0.0000288 0.0000360 23.343023 -0.8016354 0.4308491

### Tweets Mentioning either IDF or Hamas

Changes in Competence-conveying Words in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362). Note: IDF was not mentioned in any tweets between 10/07/22 and 10/06/23 (the “Before” period). So, the data was subsetted to only the ““After” period.

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0065645 0.0082720 1.982571 0.7935821 0.5112673
MilitantHamas -0.0017984 0.0084142 2.679183 -0.2137326 0.8459680
Affiliation_ContrastLeft-leaning -0.0113516 0.0144086 2.610445 -0.7878391 0.4960325
Date_Index -0.0000277 0.0032669 375.293995 -0.0084652 0.9932503
MilitantHamas:Affiliation_ContrastLeft-leaning 0.0089258 0.0146783 3.574131 0.6080941 0.5796253
MilitantHamas:Date_Index 0.0000180 0.0032669 376.767709 0.0055137 0.9956036
Affiliation_ContrastLeft-leaning:Date_Index 0.0001335 0.0042224 376.279110 0.0316170 0.9747943
MilitantHamas:Affiliation_ContrastLeft-leaning:Date_Index -0.0001347 0.0042224 378.600410 -0.0318975 0.9745706

Simplified Intercept

Tweets Mentioning either Israeli and/or Jewish people or Arabic and/or Muslim people

Changes in Competence-conveying Words in tweets by the “Before” and “After” period

Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0073734 0.0031775 357.2783 2.3205475 0.0208738
EthnoraceArabic and/or Muslim group 0.0045334 0.0071627 546.6139 0.6329180 0.5270519
Affiliation_ContrastLeft-leaning -0.0073556 0.0044241 317.2592 -1.6626189 0.0973763
Condition_ContrastAfter 10/07/23 -0.0050269 0.0032439 506.0259 -1.5496675 0.1218465
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning -0.0050424 0.0136269 545.2905 -0.3700317 0.7115025
EthnoraceArabic and/or Muslim group:Condition_ContrastAfter 10/07/23 -0.0038925 0.0072936 546.4664 -0.5336904 0.5937727
Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 0.0101333 0.0045882 412.6530 2.2085515 0.0277549
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 0.0019205 0.0137753 543.8659 0.1394172 0.8891721

Changes in Competence-conveying Words in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362)

Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0040543 0.0013138 14.59557 3.0859193 0.0077320
EthnoraceArabic and/or Muslim group 0.0008083 0.0018437 546.97406 0.4383991 0.6612701
Affiliation_ContrastLeft-leaning -0.0007608 0.0019062 18.52988 -0.3991110 0.6943737
Date_Index -0.0000103 0.0000054 545.51023 -1.8863667 0.0597764
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning 0.0003389 0.0029496 542.53245 0.1148833 0.9085801
EthnoraceArabic and/or Muslim group:Date_Index -0.0000027 0.0000109 536.25500 -0.2510894 0.8018412
Affiliation_ContrastLeft-leaning:Date_Index 0.0000214 0.0000079 533.50705 2.7100201 0.0069444
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Date_Index -0.0000228 0.0000170 524.10216 -1.3402828 0.1807341

Tweets Mentioning either IDF or Hamas

Changes in Competence-conveying Words in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362). Note: IDF was not mentioned in any tweets between 10/07/22 and 10/06/23 (the “Before” period). So, the data was subsetted to only the ““After” period.

Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0061636 0.0064545 378.6785 0.9549246 0.3402250
MilitantHamas -0.0024054 0.0065047 383.4127 -0.3697924 0.7117413
Affiliation_ContrastLeft-leaning -0.0125862 0.0088299 375.6357 -1.4254064 0.1548701
Date_Index -0.0000239 0.0000323 383.4627 -0.7392357 0.4602161
MilitantHamas:Affiliation_ContrastLeft-leaning 0.0118419 0.0091239 383.8891 1.2978925 0.1951036
MilitantHamas:Date_Index 0.0000189 0.0000328 383.0808 0.5774669 0.5639634
Affiliation_ContrastLeft-leaning:Date_Index 0.0001406 0.0000628 383.9328 2.2383302 0.0257721
MilitantHamas:Affiliation_ContrastLeft-leaning:Date_Index -0.0001492 0.0000646 383.5478 -2.3113653 0.0213421

Change in Hate-speech Content

Intercept as indicated by the Pre-reg

Tweets Mentioning either Israeli and/or Jewish people or Arabic and/or Muslim people

Changes in Incompetence-conveying Words in tweets by the “Before” and “After” period

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0717728 0.0839367 20.17601 0.8550822 0.4025459
EthnoraceArabic and/or Muslim group -0.0254788 0.1564241 178.04481 -0.1628828 0.8707955
Affiliation_ContrastLeft-leaning 0.1103239 0.1185652 20.36889 0.9304911 0.3630146
Condition_ContrastAfter 10/07/23 0.0349597 0.0774365 29.15125 0.4514629 0.6549969
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning -0.1049470 0.2944660 322.13886 -0.3563975 0.7217762
EthnoraceArabic and/or Muslim group:Condition_ContrastAfter 10/07/23 0.0633091 0.1606285 126.43013 0.3941336 0.6941464
Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 -0.0992015 0.1122521 31.28305 -0.8837390 0.3835787
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 0.0467139 0.2987332 237.34670 0.1563735 0.8758716

Changes in Hate Speech Content in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362)

## boundary (singular) fit: see help('isSingular')
Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.1329853 0.0785421 0.5645535 1.6931721 0.4547768
EthnoraceArabic and/or Muslim group -0.0081401 0.0805244 5.8836074 -0.1010884 0.9228369
Affiliation_ContrastLeft-leaning -0.0037643 0.1111840 0.5617568 -0.0338568 0.9811490
Date_Index -0.0001075 0.0002506 0.5541421 -0.4290647 0.7793630
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning 0.0093501 0.1182627 5.8352381 0.0790621 0.9396245
EthnoraceArabic and/or Muslim group:Date_Index 0.0004736 0.0005351 1.4076927 0.8849956 0.5012284
Affiliation_ContrastLeft-leaning:Date_Index 0.0001233 0.0003446 0.5254993 0.3579319 0.8150043
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Date_Index -0.0005398 0.0007616 1.8667409 -0.7087654 0.5564649

Tweets Mentioning either IDF or Hamas

Changes in Hate Speech Content in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362). Note: IDF was not mentioned in any tweets between 10/07/22 and 10/06/23 (the “Before” period). So, the data was subsetted to only the ““After” period.

Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) -0.0316456 0.1763983 0.8141154 -0.1793985 0.8918222
MilitantHamas 0.1583700 0.1768151 1.4492132 0.8956816 0.4940895
Affiliation_ContrastLeft-leaning -0.0559130 0.3172105 0.9498581 -0.1762648 0.8900733
Date_Index 0.0190559 0.0797508 32.1179980 0.2389427 0.8126682
MilitantHamas:Affiliation_ContrastLeft-leaning -0.0165362 0.3231452 1.5194298 -0.0511728 0.9650883
MilitantHamas:Date_Index -0.0189345 0.0796766 30.6716857 -0.2376425 0.8137387
Affiliation_ContrastLeft-leaning:Date_Index -0.0150490 0.1039512 51.5711725 -0.1447696 0.8854571
MilitantHamas:Affiliation_ContrastLeft-leaning:Date_Index 0.0149627 0.1038399 48.9733544 0.1440940 0.8860176

Simplified Intercept

Tweets Mentioning either Israeli and/or Jewish people or Arabic and/or Muslim people

Changes in Hate Speech Content in tweets by the “Before” and “After” period

Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.0516724 0.0718090 229.6100 0.7195804 0.4725152
EthnoraceArabic and/or Muslim group -0.0145414 0.1537189 544.4145 -0.0945975 0.9246693
Affiliation_ContrastLeft-leaning 0.1357293 0.1007828 194.7148 1.3467501 0.1796262
Condition_ContrastAfter 10/07/23 0.0635256 0.0704260 542.3015 0.9020203 0.3674465
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning -0.0911573 0.2917942 540.4504 -0.3124027 0.7548550
EthnoraceArabic and/or Muslim group:Condition_ContrastAfter 10/07/23 0.0397444 0.1564632 543.7374 0.2540176 0.7995780
Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 -0.1244813 0.1014121 453.5027 -1.2274806 0.2202788
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Condition_ContrastAfter 10/07/23 0.0366357 0.2947002 538.4528 0.1243152 0.9011121

Changes in Hate Speech Content in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362)

Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 0.1074888 0.0365388 21.71402 2.9417682 0.0076122
EthnoraceArabic and/or Muslim group -0.0010717 0.0397960 546.32759 -0.0269297 0.9785256
Affiliation_ContrastLeft-leaning 0.0286631 0.0521533 22.81004 0.5495931 0.5879396
Date_Index -0.0000079 0.0001174 543.22757 -0.0671937 0.9464523
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning -0.0492247 0.0638009 546.84271 -0.7715361 0.4407225
EthnoraceArabic and/or Muslim group:Date_Index 0.0002445 0.0002365 546.94851 1.0337008 0.3017329
Affiliation_ContrastLeft-leaning:Date_Index -0.0000014 0.0001717 545.83262 -0.0081275 0.9935183
EthnoraceArabic and/or Muslim group:Affiliation_ContrastLeft-leaning:Date_Index -0.0001129 0.0003692 546.99829 -0.3059122 0.7597879

Tweets Mentioning either IDF or Hamas

Changes in Hate Speech Content in tweets between as date index (e.g., 10/07/23 as 0) moving backwards (min= -360) and forward (max= 362). Note: IDF was not mentioned in any tweets between 10/07/22 and 10/06/23 (the “Before” period). So, the data was subsetted to only the ““After” period.

Model Summary
Estimate Std. Error df t value Pr(>|t|)
(Intercept) -0.0237975 0.1565768 379.7993 -0.1519861 0.8792786
MilitantHamas 0.1958321 0.1546624 374.2409 1.2661906 0.2062324
Affiliation_ContrastLeft-leaning 0.0295536 0.2160783 362.6503 0.1367725 0.8912865
Date_Index 0.0001708 0.0007674 373.0039 0.2225578 0.8240015
MilitantHamas:Affiliation_ContrastLeft-leaning -0.1394556 0.2180789 380.8858 -0.6394729 0.5228997
MilitantHamas:Date_Index -0.0003741 0.0007782 373.5534 -0.4806702 0.6310323
Affiliation_ContrastLeft-leaning:Date_Index -0.0002813 0.0015013 379.8440 -0.1873532 0.8514838
MilitantHamas:Affiliation_ContrastLeft-leaning:Date_Index 0.0004601 0.0015402 379.1245 0.2987184 0.7653186